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Mingyao Li, Ph.D.

Mingyao Li, Ph.D.

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Associate Professor of Biostatistics in Biostatistics and Epidemiology
Department: Biostatistics and Epidemiology

Contact information
University of Pennsylvania School of Medicine
Department of Biostatistics and Epidemiology
213 Blockley Hall, 423 Guardian Drive
Philadelphia, PA 19104
Office: 215-746-3916
Fax: 215-573-4865
Education:
B.S. (Mathematics)
Nankai University, China, 1996.
M.S. (Mathematics)
Nankai University, China, 1999.
M.S. (Biostatistics)
University of Michigan, Ann Arbor, 2002.
Ph.D. (Biostatistics)
University of Michigan, Ann Arbor, 2005.
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Description of Research Expertise

Dr. Mingyao Li joined the Biostatistics faculty in 2006. She is also a faculty member of the Genomics and Computational Biology graduate program. Her main research area is statistical genetics and genomics. In particular, she is interested in developing statistical methods and computational tools for identifying and characterizing genetic variants that influence susceptibility to complex diseases. Her current research work involves the analysis of high-throughput genetics/genomics data such as those generated from next-generation sequencing studies. She is particularly interested in the analysis of RNA sequencing data including single-cell RNA sequencing, and genetics of gene expression. In addition to methods development, Dr. Li is also interested in collaborating with researchers seeking to identify complex disease susceptibility genes. Her collaborative research includes studies of the genetics of cardiometabolic diseases and eye diseases. Dr. Li actively serves in the scientific community. She is an Associate Editor of Statistics in Biosciences, and is a regular member of the Genomics, Computational Biology and Technology study section and a member of the review committee of the Center for Inherited Disease Research of the NIH.

Selected Publications

Ballantyne R.L., Zhang X., Nunez S., Xue C., Zhao W., Reed E., Salaheen D., Foulkes A.S., Li M.*, Reilly M.P.*: Genome-wide interrogation reveals hundreds of long intergenic noncoding RNAs that associate with cardiometabolic traits. Human Molecular Genetics 25(14): 3125-3141, Jul 2016 Notes: * Co-senior authors.

Lin J., Hu Y., Nunez S., Foulkes A.S., Cieply B., Xue C., Gerelus M., Li W., Zhang H., Rader D.J., Musunuru K., Li M.*, Reilly M.P.*: Transcriptome-wide analysis reveals modulation of human macrophage inflammatory phenotype through alternative splicing. Arteriosclerosis, Thrombosis, and Vascular Biology 36(7): 1434-47, Jul 2016 Notes: * Co-senior authors.

Jia C., Guan W., Yang A., Xiao R., Tang W.H., Moravec C.S., Margulies K.B., Cappola T.P., Li C., Li M.: MetaDiff: differential isoform expression analysis using random-effects meta-regression. BMC Bioinformatics 16(1): 208, Jul 2015.

Hu Y., Liu Y., Mao X., Jia C., Ferguson J.F., Xue C., Reilly M.P., Li H., Li M.: PennSeq: accurate isoform-specific gene expression quantification in RNA-Seq by modeling non-uniform read distribution. Nucleic Acids Research 42(3): e20, Feb 2014.

Li M., Jia C., Kazmierkiewicz K.L., Bowman A.S., Tian L., Liu Y., Gupta N.A., Gudsieva H.V., Yee S.S., Kim M., Dentchev T., Kimble J.A., Parker J.S., Messinger J.D., Curcio C.A., Stambolian D.: Comprehensive analysis of gene expression in human retina and supporting tissues. Human Molecular Genetics 23(15): 4001-14, Aug 2014.

Reilly M.*, Li M.*, He J., Ferguson J.F., Stylianou I.M., Mehta N.N., Burnett M.S., Devaney J.M., Knouff C.W., Thompson J.R., Horne, B.D., Stewart A.F., Assimes T.L., Wild P.S., Allayee H., Linsel- Nitschke P., Patel R.S., Myocardial Infarction Genetics Consortium, Wellcome Trust Case Control Consortium, Martinelli N., Girelli D., Quyyumi A.A., Anderson J.L., Erdmann J., Hall A.S., Schunkert H., Quertermous T., Blankenberg S., Hazen S.L., Roberts R., Kathiresan S, Samani N.J., Epstein S.E., Rader D.J.: Identification of ADAMTS7 as a novel locus for coronary atherosclerosis and association of ABO with myocardial infarction in the presence of coronary atherosclerosis: two genome-wide association studies. The Lancet 377(9763): 383-92, Jan 2011 Notes: *Co-first authors.

Wang X., Zhu X., Qin H., Cooper R., Ewens W., Li C., Li M.: Adjustment for local ancestry in genetic association analysis of admixed populations. Bioinformatics 27(5): 670-7, Mar 2011.

Wang K., Chen Z., Tadesse M.G., Glessner J., Grant S.F.A., Hakonarson H., Bucan M., Li M.: Modeling genetic inheritance of copy number variations. Nucleic Acids Research 36(21): e138, Dec 2008.

Wang K., Li M., Hadley D., Liu R., Glessner J., Grant S.F.A., Hakonarson H., Bucan M.: PennCNV: an integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data. Genome Research 17(11): 1665-74, Nov 2007.

Li M., Atmaca-Sonmez P., Othman M., Branham K.E.H., Wade M.S., Li Y., Liang L., Zareparsi S., Swaroop A., Abecasis G.R.: CFH haplotypes without Y402H coding variant show strong association with susceptibility to age-related macular degeneration. Nature Genetics 38(9): 1049-54, Sep 2006.

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Last updated: 04/24/2017
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